Camas GPU Cluster

An NSF-sponsored GPU cluster for AI-driven research

The “camas” GPU partition was sponsored by an NSF MRI grant, and is open to all WSU researchers.  Camas consists of 3 Dell PowerEdge R760xa servers, each with 80 cores and 4 Nvidia H100 GPU’s.   Jobs submitted to “camas” are not subject to preemption, and jobs that use GPU’s have priority over non-GPU jobs. 

PartitionNode CountCoresMemoryModelGPU
camas3801TBSapphire Rapids4 Nvidia H100's 80GB